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Machine Learning Manager Jobs in Germantown, MD (NOW HIRING)

CACI

Machine Learning Engineer

Chantilly, VA · On-site

$131K - $290K/yr

Machine Learning Engineer Job Category: Information Technology Time Type: Full time Minimum ... Vector) to manage training data, model artifacts, and application state Containerize ML ...

Crowe LLP

Machine Learning Intern

Washington, DC

$27 - $42/hr

... change management controls for risk and compliance policies Presenting work clearly to technical and non-technical audiences Relevant majors and areas of expertise Data Science Computer Science ...

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Machine Learning Manager information

See Germantown, MD salary details

$51.5K

$82.6K

$119.2K

How much do machine learning manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning manager in Germantown, MD is $82,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $93,500.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are popular job titles related to Machine Learning Manager jobs in Germantown, MD?

For Machine Learning Manager jobs in Germantown, MD, the most frequently searched job titles are:

What job categories do people searching Machine Learning Manager jobs in Germantown, MD look for?

The top searched job categories for Machine Learning Manager jobs in Germantown, MD are:

What cities near Germantown, MD are hiring for Machine Learning Manager jobs?

Cities near Germantown, MD with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Germantown, MD as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $82,568 per year, or $39.7 per hour.

Machine Learning Engineer

Chantilly, VA • On-site

Freedom Technology Solutions Group, LLC
See more jobs at Freedom Technology Solutions Group, LLCexternal

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Freedom Technology Solutions Group is looking for a Machine Learning Engineer to lead an effort to bring its enterprise services into compliance with Federal data standards and formats. The role involves reviewing and analyzing data sets, making recommendations for data cleansing and transformation, and collaborating with various internal teams to support data migration and integration efforts.
Responsibilities:
• Establish a repeatable process to periodically “scrape” and collect skills from a collection of Sponsor performance reviews.
• Comply with the Sponsor’s guidance and policies regarding the collection, analysis, and use of personal identifiable Information (PII).
• Create an access-controlled collection of disparate data sources.
• Create an access-controlled database to store collected jobs, competencies, KSAs, and proficiency levels. The portable database will be transferrable to the process owner upon the completion of the implementation.
• Create a data migration plan to export collected skills and competencies into the Sponsor’s systems.
• Scrape, collate, and perform analysis of skill sets from open source, commercially available, and existing Sponsor databases and applications for addition to the skills repository.
• Scrape, gather, and analyze onboarding data to enrich the skill and competencies repository.
• Review and analyze all Sponsor service competency data for addition to the skill and competencies repository.
• Collaborate with other internal Sponsor offices to review, analyze, and update competency data from open source, commercially available, existing Sponsor databases, and applications, in addition to the skill and competencies repository.
• Evaluate the Sponsor's current Chatbot and Machine Learning (ML), Artificial Intelligence (AI) offerings, and integration methods, and provide a report on opportunities to integrate with the Sponsor's systems.
• Evaluate and assess the Sponsor’s planned system restructuring and its data integration impacts with a new external service provider.
• Work with the Sponsor's team supporting the system restructure to understand data standards required and the impact on the Sponsor’s OPM standardization efforts.
• Create a transition guide or Standard Operating Procedures (SOPs) of activities.
• Create and maintain documentation for a Skills Taxonomy Gap Analysis Report to include an assessment of the current state, proposed baseline of competencies and KSAs, identification of missing data, and an action plan for gap mitigation.
• Create and maintain documentation of methodologies and tools used to accomplish the Scope of Work (SOW).
• Create and maintain documentation related to system access to database(s), systems used, and databases accessed to perform the work.
• Create and maintain a list of Internal and External Key Contacts, to include names and contact information.
• Create and maintain documentation regarding concerns, risks, and issues regarding data, storage, tools, and access.
• Create and maintain documentation regarding the status of deliverables and open actions.
Qualifications:
Required:
• Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data).
• Demonstrated experience with implementing and using extract, transform, and load (ETL) tools.
• Demonstrated experience implementing, using, and creating Data Application Programming Interfaces (APIs) or data services.
• Demonstrated experience with Python, Java, and Scala programming languages.
• Demonstrated experience implementing, using, and creating data visualizations.
• Demonstrated experience implementing, using, or creating ML/AI software, tools, and services.
• Demonstrated experience using or creating Amazon Web Services (AWS)-based analytic tools and services.
• Demonstrated experience using and implementing Apache Hadoop.
Preferred:
• Demonstrated experience with using and creating Tableau visualizations.
• Demonstrated experience with using and creating workspaces in Bluescape.
• Demonstrated experience working with data services in the Sponsor’s cloud environment.
• Demonstrated experience with the Sponsor’s HR data and database environment.
• Demonstrated experience using SharePoint, and adding and integrating content.
• Demonstrated knowledge of Agile Project Management Methodology.
Company:
FTSG was founded with the idea of building a company in which IT professionals have the 'Freedom' to be creative and innovative. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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